Will I be able to build a real project?

Yes! You’ll build AI-powered applications, such as a RAG-based chatbot, a PDF summarizer, a task-specific AI agent using DeepSeek and n8n and even a Python based web-app using GenAI for the full development. These projects are directly applicable to real-world business use cases.

Can I run DeepSeek on my own computer?

Absolutely. The course teaches you how to run DeepSeek locally using your system, or access it via API. You’ll choose the setup that best suits your use case and machine capabilities.

What skills will I walk away with?

You’ll gain skills in prompt engineering, embedding models, workflow automation, AI integration, and RAG pipelines. These are highly relevant for roles in AI development, automation, and product engineering.

Can I take this course alongside a full-time job or studies?

Definitely! The course is fully self-paced, and you can watch short video lessons and complete projects at your own convenience. It’s flexible enough to fit into a busy schedule.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Building Applications with DeepSeek

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Building Applications with DeepSeek

This course is part of Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization

Instructors: Board Infinity

2,223 already enrolled

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Build AI-powered applications using DeepSeek’s API, local setup, and developer tools for real-world software solutions.
Create intelligent agents and bots using embeddings, RAG pipelines, and task-based automation workflows.
Apply DeepSeek across the software development lifecycle to generate code, fix errors, and enhance test coverage.
Implement end-to-end AI development workflows using DeepSeek by combining setup, generation, evaluation, and deployment strategies.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

Want to build smarter applications faster? This hands-on course will teach you how to develop, integrate, and scale AI-powered solutions using DeepSeek. With tools like VS Code, Cursor, and DeepSeek APIs, you'll gain practical skills to streamline code generation, testing, documentation, and agent-based workflows—no prior AI experience required.

In the first module, you'll get introduced to DeepSeek’s capabilities, setup options, and developer benefits, including how to run it via API or locally. The second module explores how to apply DeepSeek across the software development lifecycle—from generating code and writing tests to automating CI/CD tasks. In the final module, you'll build smart applications using RAG pipelines, embeddings, and AI agents, and finish with a checklist for production readiness. By the end, you will: -Build AI-powered applications using DeepSeek’s API, local setup, and developer tools for real-world software solutions. -Create intelligent agents and bots using embeddings, RAG pipelines, and task-based automation workflows. -Apply DeepSeek across the software development lifecycle to generate code, fix errors, and enhance test coverage. This course is ideal for: -Developers exploring AI tools for real-world application -Backend engineers looking to automate workflows -Technical leads or devs building smart features into apps -Anyone curious about practical uses of AI in software development Get ready to supercharge your development process with DeepSeek—one line of smart code at a time. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Deepseek or any of its subsidiaries or affiliates. This course is not an official preparation material of deepsek. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.

This module lays the groundwork for developers to begin working with DeepSeek, offering a clear understanding of the platform’s key capabilities, model offerings, and integration pathways. It begins with an introduction to DeepSeek's position in the AI ecosystem, highlighting its performance advantages, cost efficiency, and transparency compared to other AI solutions. Learners will explore how to access DeepSeek through various channels—such as web apps, APIs, and local instances—and gain insight into different model types like V3, R1, and Janus Pro. The module also addresses common misconceptions around DeepSeek’s origin, security, and licensing, enabling developers to make informed decisions. By the end of this module, learners will be fully equipped to explore and engage with DeepSeek for technical use.

What's included

10 videos4 readings4 assignments1 discussion prompt1 plugin

10 videos Total 59 minutes

Course Introduction! 2 minutes
Meet your Instructor 1 minute
What is DeepSeek? Overview and Vision 8 minutes
Why Choose DeepSeek Over Other Models? 5 minutes
DeepSeek Benefits to Developers 5 minutes
Personal growth with DeepSeek 5 minutes
Value Across the Development Lifecycle 5 minutes
Using DeepSeek: Web Many ways to access 9 minutes
DeepSeek API Overview: How It Works 8 minutes
Running DeepSeek Locally: Tools & Requirements 12 minutes

4 readings Total 60 minutes

Syllabus 15 minutes
Read More About DeepSeek AI, Open-Source Power, and the Future of Large Language Models 15 minutes
Read More About Exploring DeepSeek‑R1 in Real Life, Personal Growth, and SDLC Best Practices 15 minutes
Read More About How to Use DeepSeek: From APIs to Private & Offline Setups 15 minutes

4 assignments Total 150 minutes

Graded Quiz: Getting Started with DeepSeek for Developers 60 minutes
Practice Quiz: Understanding DeepSeek and Its Edge 30 minutes
Practice Quiz: Why Developers Choose Deepseek 30 minutes
Practice Quiz: Accessing and Running DeepSeek 30 minutes

1 discussion prompt Total 10 minutes

Where Could AI Make the Biggest Difference in Your Work? 10 minutes

1 plugin Total 15 minutes

Quick Course Check-In 15 minutes

This module guides learners through the process of integrating DeepSeek into real-world applications, showcasing its adaptability across a range of development environments. Beginning with a breakdown of how to interact with DeepSeek models programmatically, the module dives into use cases like text generation, summarization, and agent-based workflows. Learners will explore how to connect DeepSeek with mobile apps, web services, automation platforms, and custom toolchains. The lessons focus on API usage, prompt engineering techniques, latency considerations, and design best practices. By the end of this module, developers will be equipped to confidently embed DeepSeek’s capabilities into end-to-end application workflows and deliver AI-powered functionality at scale.

What's included

13 videos3 readings4 assignments

13 videos Total 86 minutes

Running DeepSeek: APIs 10 minutes
Running DeepSeek: Local hosting 12 minutes
Choosing a Setup: When to Use What 6 minutes
Setting up your environment (Cursor/VS Code) 7 minutes
Case study - DeepSeek across SDLC 3 minutes
Setting up Cursor 7 minutes
Code Generation 7 minutes
Improving our application 6 minutes
Intelligent Debugging and Error Fixes 5 minutes
Writing and executing tests using DeepSeek 6 minutes
Generating Technical Documentation 5 minutes
Translating Code Between Programming Languages 6 minutes
Reviewing Pull Requests 5 minutes

3 readings Total 45 minutes

Read More About DeepSeek Deployment & Dev Workflow: Ollama, API Access, and Cursor Migration 15 minutes
Read More About Scaling DeepSeek: From Open-Source LLMs to Real-World AI & Automation Platforms 15 minutes
Read More About Advanced DeepSeek Use Cases: Testing, RAG Assistants & Developer Workflow Integration 15 minutes

4 assignments Total 150 minutes

Graded Quiz: Application Development with DeepSeek 60 minutes
Practice Quiz: Setting Up Your Development Environment 30 minutes
Practice Quiz: DeepSeek Across the Development Lifecycle 30 minutes
Practice Quiz: Enhancing Software Quality with DeepSeek 30 minutes

This final module focuses on extracting strategic value from DeepSeek through real-world case studies and high-impact implementation patterns. Learners will explore how organizations across industries—from finance to education—are using DeepSeek to drive innovation, automate workflows, and enhance user experiences. The module emphasizes practical insights, such as overcoming integration challenges, measuring ROI, and aligning AI solutions with business goals. In addition, it addresses frequently asked questions and offers guidance for continued learning and experimentation. By the end, learners will have a clear roadmap for applying DeepSeek effectively in diverse contexts and driving measurable outcomes.

What's included

15 videos3 readings5 assignments1 discussion prompt

15 videos Total 101 minutes

Understanding Embeddings 7 minutes
Using DeepSeek as an Embedding Model 8 minutes
Testing the Embeddings 6 minutes
Embedding Use Cases 4 minutes
What is RAG and Why It Matters 6 minutes
Understanding the RAG pipeline 7 minutes
Hands-On: Building a RAG-Based Bot Pt 1 13 minutes
Hands-On: Building a RAG-Based Bot Pt 2 15 minutes
Optimizing RAG Workflows for Performance 5 minutes
Introduction to AI Agents 10 minutes
Building Task-Based AI Agents with DeepSeek 2 minutes
Hands-On: A Demo AI Assistant in Action 11 minutes
Key Learnings Recap: From Setup to Deployment 2 minutes
Checklist for Building Production-Ready AI Applications 5 minutes
Course Closure! 1 minute

3 readings Total 45 minutes

Read More About Working with Embeddings: DeepSeek, ChromaDB & LangChain for Scalable AI Applications 15 minutes
Read More About Mastering RAG: Concepts, Chatbot Pipelines & DeepSeek R1 Integration 15 minutes
Read More About Building Intelligent AI Agents: Concepts, Architectures & Enterprise Workflows 15 minutes

5 assignments Total 180 minutes

Graded Quiz: Real-World Applications and Strategic Takeaways 60 minutes
Practice Quiz: Using DeepSeeks Embeddings 30 minutes
Practice Quiz: Retrieval-Augmented Generation (RAG) with DeepSeek 30 minutes
Practice Quiz: Creating AI Agents Using DeepSeek 30 minutes
Practice Quiz: Course Wrap-Up and Developer Takeaways 30 minutes

1 discussion prompt Total 10 minutes

Check-In: From AI Basics to Real Applications 10 minutes

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Frequently asked questions

Basic familiarity with programming concepts and APIs is helpful, but no advanced coding is required. The course uses tools like DeepSeek, n8n, LMStudio, Cursor AI, VS code and Google Colab with guided examples and no-code/low-code options.

DeepSeek is an open-source LLM that developers can run locally or via API, offering more control, customization, and privacy. Unlike ChatGPT, it’s designed for deeper integration into dev workflows like debugging, testing, and RAG-based applications.

The course is designed to be completed in 3-4 weeks with 2-4 hours of learning per week. It’s self-paced, so you can adjust based on your availability.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.